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Urban spatial dynamic modeling based on urban amenity data to inform smart city planning
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0001-7219-2222
Division of Urban Planning and Landscape Architecture, Gachon University, South Korea.
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0002-5665-747x
Department of Landscape Architecture, The University of Illinois at Urbana-Champaign, IL, USA.
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2023 (English)In: Anthropocene, E-ISSN 2213-3054, Vol. 42, article id 100387Article in journal (Refereed) Published
Abstract [en]

An ideal form of smart city planning would focus on the availability of urban amenities that can meet the basic needs of a resident's material life, civil connections, and humanistic spirit. Previous studies have concentrated on analyzing the spatial distribution of urban services, with less attention on their contribution as local urban amenities. In this study, we propose a spatial dynamic modeling approach based on urban amenities using social media data from Google Place API to provide locational information on potential resident interactions. We use a representative region in Europe (Stockholm County, SE) to simulate and project urban development in the region until 2050. Our circular conceptual framework of spatial information and feedback supports decision-makers in testing possible urban planning scenarios that align with the vision of a smart city. Simulation results reveal the interplay between human-land interactions on a specific spatial-temporal scale, and we analyze scenario outcomes in relation to commercial and residential land uses. Overall, our study provides a new perspective on human-social behavior-driven urban development, through a smart, spatial dynamic model as a planning support system that can enhance realism, and ultimately help realize planned development objectives in the region.

Place, publisher, year, edition, pages
Elsevier BV , 2023. Vol. 42, article id 100387
Keywords [en]
Human-land interaction, Human-social behavior, Planning support system, Smart city, Spatial dynamic model, Urban amenities, Urban planning
National Category
Geosciences, Multidisciplinary Human Geography
Research subject
Land and Water Resources Engineering
Identifiers
URN: urn:nbn:se:kth:diva-331530DOI: 10.1016/j.ancene.2023.100387ISI: 001013338200001Scopus ID: 2-s2.0-85160678432OAI: oai:DiVA.org:kth-331530DiVA, id: diva2:1781860
Funder
Region StockholmStandUp
Note

QC 20231009

Available from: 2023-07-11 Created: 2023-07-11 Last updated: 2023-10-09Bibliographically approved

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Cai, ZipanCvetkovic, VladimirMörtberg, Ulla

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